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BMCBI
2006
134views more  BMCBI 2006»
15 years 24 days ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
BMCBI
2007
127views more  BMCBI 2007»
15 years 22 days ago
Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
Jian Tian, Ningfeng Wu, Xuexia Guo, Jun Guo, Juhua...
ICML
2004
IEEE
16 years 1 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
SECURWARE
2008
IEEE
15 years 7 months ago
Enhancing Trusted Platform Modules with Hardware-Based Virtualization Techniques
—We present the design of a trusted platform module (TPM) that supports hardware-based virtualization techniques. Our approach enables multiple virtual machines to use the comple...
Frederic Stumpf, Claudia Eckert
ACML
2009
Springer
15 years 4 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo